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Erle-Brain is an artificial robotic brain for making robots and drones. A linux embedded computer including all the sensing and computing needed to create smart and autonomous behaviors. We provide Linux images with pre-configured software to build aerial, terrestrial and marine-based drones. As members of the Dronecode Foundation, Erle-Brain uses the APM software autopilot and provides full support for it.
That depends on your working conditions and antennas used. A general WiFi dongle can easily cover a 200 meter range area in open space environments. Changing to dongles with higher gains will get you to meet your needs. This high gain wifi dongle antenna provides high perfomance long distance wireless connections with 4dBi (2.4GHz) and 6dBi(5GHz).
The advantage of having Linux machines running all the flight logic is that most of the general purpose devices/dongles will highly like have drivers already available.
We focus on Linux-based open source and hardware robots. The fact of having all the sources open makes it quite more attractive to a great majority of researchers and we are growing a community that keeps pushing the state of the art.
There’s a lot of research behind our work that we happily share.
Our drones include support for several ground control stations (GCS). Please refer to the docs for a simple introduction. Swarming can be done in several ways:
That depends on the range you wish to reach. Up to 1.5 km our default links should be fine. If you desire more range, DragonLink links (which are compatible with our robotic brains) claim to have 15 km of range (direct link).
Alternatively you could easily use a 3G/4G USB dongle for drone communications.
It’s a Linux computer so there’re plenty of ways to do so. By default we include three ways:
These three should be a good starting point but If you need additional ones (e.g.: Ethernet, Bluetooth, 4G, …) and our engineers will provide support.
There are many that could be used. Please note that there’re Linux driver for most commercial 3D scanners and RGB cameras. For example: Velodyne LIDARs (high resolution and high cost) or a simple Kinect that provides good results at a much lower price.
Take a look to all the additional devices that we have tested on our Erle-Brain!
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Anywhere outdoors as long as you are respecting all the local laws and regulations.
2 hours for a full-charge.
Erle-Brain and our drones (robots) are powered by ROS. For this reason you can use all the packages and drives available in ROS. You can test, benchmark or modified state of the art algorithm related to SLAM.
For example, Gmapping package provides laser-based SLAM (Simultaneous Localization and Mapping). Using SLAM Gmapping, you can create a 2-D occupancy grid map (like a building floorplan) from laser and pose data collected by a mobile robot.
In a few years ROS has changed the robotics field. It has unified Universities and industries around the world, enhanced collaboration, sharing of algorithms and reuse of code. A task that traditionally could take months can be developed within days using ROS.
We are true believers that ROS is the ultimate framework for robotics. The ideal SDK for robot and drone app development.
Erle-Brain has been successfully tested in copters, planes, rovers and boats. Thanks to the contribution of many, there’re drivers for most of the sensor and we keep working hard to provide support for even more accessories. Here are some of the ones we’ve been playing with: power module, electro permanet magnet (EPM), electronic speed controller (ESC), GPS, camera, gimbal, buzzer, RGB leds, etc.
Having Linux-based robots empowers new uses and applications, simplifies development and allows the big community of Linux users to jump straight into robot app development. We proved that the maximum latencies with a modified Linux kernel are controllable. Still don’t believe it? ask what SpaceX is running ;).